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Open datasets, fully documented — searchable here, and readable by any LLM.

5 datasets

nasa
  • Global City Climate Stress Signals (derived)

    Global city climate stress signals (degree days, precipitation, renewable-resource anomalies)

    Value-added monthly climate-stress signals for 54 world cities from free NASA POWER data: cooling/heating degree days (energy demand proxies), precipitation anomalies (drought/wetness), solar and wind resource anomalies, and heat/cold stress flags — 1981 to present. All computation is local pandas/numpy; no paid models or APIs.

    • climate
    • nasa
    • degree-days
    • energy-demand
    rows
    147,690
    Quality
    100
    Updated
    Sep 22, 2026
    Fresh
    License
    Commercial use OK
  • Global Surface-Temperature Signals (derived)

    Global surface-temperature signals (GISTEMP warming gauges)

    Monthly global surface-temperature signals from NASA GISTEMP (global, Northern Hemisphere, Southern Hemisphere land-ocean indices, 1880 ->, anomalies vs 1951-1980): 3-month and 12-month changes, 30-month change volatility, 3-sigma anomaly flags, naive-drift forecasts, 10-year warmth z-scores, trailing-10-year warming trends (C/decade), record-warmth flags, and +1.5 C Paris-threshold flags. The planetary-outcome lens on climate change — the warming behind the CO2 driver (co2-growth), the ENSO driver (enso), and city heat extremes (city-climate-stress). All rows normalized to country_code WLD. Raw data: NASA GISS (keyless, public domain).

    • global-warming
    • temperature-anomaly
    • gistemp
    • nasa
    rows
    5,280
    Quality
    100
    Updated
    Sep 22, 2026
    Fresh
    License
    Commercial use OK
  • NEO close-approach risk intelligence (agent-curated)

    Near-Earth object close-approach risk intelligence (monthly)

    Monthly risk intelligence on every Earth close approach within 0.05 AU in the rolling 90-day window, from the official keyless NASA/JPL CNEOS Close-Approach Data API. Each approach event is entity-resolved (canonical designation; an is_named flag marks numbered+named objects vs provisional-only designations), deduped, and unit-normalized (miss distance in AU, lunar distances and km side by side). Diameter is estimated from absolute magnitude H via D = 1329/sqrt(0.14) * 10^(-H/5) and flagged as an estimate (NULL when H is missing); a documented kinetic-energy proxy in megatons of TNT assumes a spherical 3000 kg/m^3 body. A documented PHA-candidate rule (H <= 22 and dist_min <= 0.05 AU — a conservative implementation of NASA's PHA definition, not the official roster) flags potentially hazardous objects. The 0-100 risk_score = 100 * (45% exp(-dist_ld/8) + 30% min(1, log10(diameter_m)/3.3) + 15% min(1, v_rel/72) + 10% PHA bonus) is ranked as risk_rank (1 = riskiest; ties: miss distance asc, approach id asc) with risk_tier bands (elevated >= 70, watch >= 45, routine >= 20, minimal below). Per-object window context (approach count, closest-approach flag) and the exact JPL Small-Body Database lookup URL sit behind every row. Columns: as-of date, ISO week, approach id (primary key), designation, is_named flag, full designation verbatim, orbit id, approach datetime/date (ISO), nominal/min/max miss distance (AU), miss distance (lunar distances, km), relative velocity (km/s), absolute magnitude H (nullable), estimated diameter (m, nullable), diameter source, size class, PHA-candidate flag, energy proxy (MT TNT, nullable), risk score + tier + rank, window approach count, closest-approach flag, JPL lookup URL, row hash. Nullability: abs_magnitude_h, diameter_m and energy_mt_tnt are null where the API carried no value — kept, never invented. Caveats: risk_score is within-snapshot relative, not comparable across months; diameter and energy are order-of-magnitude estimates under documented assumptions, not measurements or impact predictions; pha_candidate is an approximation, not the official JPL PHA list. Sample use: order by risk_rank for the month's most noteworthy approaches, filter pha_candidate for potentially hazardous objects, or group by size_class.

    • spaceflight
    • nasa
    • asteroids
    • risk
    rows
    43
    Quality
    100
    Updated
    Sep 25, 2026
    Fresh
    License
    Commercial use OK
  • NASA POWER

    NASA POWER daily weather & solar/wind energy — 54 world cities

    Daily solar and meteorological parameters for 54 world cities from NASA's POWER API (sources: SYN1deg, MERRA-2), 2020-01-01 to yesterday: air temperature (mean/max/min), precipitation, relative humidity, wind speed (10 m and 50 m) and direction, surface pressure, and all-sky / clear-sky surface solar irradiance plus total photosynthetically active radiation.

    • nasa
    • weather
    • climate
    • solar-energy
    rows
    130,274
    Quality
    100
    Updated
    Sep 24, 2026
    Aging
    License
    Commercial use OK
  • NASA POWER

    NASA POWER monthly climate — 54 world cities (1981–present)

    Monthly mean solar and meteorological parameters for 54 world cities from NASA's POWER API (sources: SYN1deg, MERRA-2), January 1981 to the current month: air temperature, precipitation, relative humidity, wind, surface pressure, and surface solar irradiance / PAR. Long-run climate-trend companion to the daily dataset.

    • nasa
    • climate
    • weather
    • solar-energy
    rows
    29,646
    Quality
    100
    Updated
    Sep 21, 2026
    Fresh
    License
    Commercial use OK

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